Results 101 to 110 of about 2,342,058 (290)
Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation
Mathematical and Computer Modelling of Dynamical SystemsWe deduce a procedure to apply balanced truncation to parameter-dependent differential-algebraic systems. For that we solve multiple projected Lyapunov equations for different parameter values to compute the Gramians that are required for the truncation ...
Jennifer Przybilla, Matthias Voigt
doaj +1 more source
Journal of Computational and Applied Mathematics, 1994 Let \(R[f]\) be the remainder of some linear approximation method (e.g. polynomial or spline approximation, numerical integration or differentiation), having estimates of the form \(| R[f ]|\leq \rho_ i\| f^{(i)} \|_{L^ p[a,b]}\), \(i=m,\dots, r\), for some \(m\) and \(r\) with \(0\leq m\leq r-1\). In many cases, \(\rho_ m\) and \(\rho_ r\), are known,
openaire +2 more sources
Molecular Oncology, EarlyView.Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute +4 more
wiley +1 more source
, 2018 In this article we perform an asymptotic analysis of Bayesian parallel density estimators which are based on logspline density estimation. The parallel estimator we introduce is in the spirit of a kernel density estimator introduced in recent studies. We
Conlon, Erin +2 more
core
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
On a posteriori error estimates [PDF]
Mathematics of Computation, 1977 Consider a sequence { x n } n = 0 ∞ \{ {x_n}\} _{n = 0}^\infty in a normed space X converging to some x ∗ ∈ X ...
openaire +1 more source
Model selection and error estimation [PDF]
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty ...
Gábor Lugosi +2 more
core
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Control by model error estimation [PDF]
Modern control theory relies upon the fidelity of the mathematical model of the system. Truncated modes, external disturbances, and parameter errors in linear system models are corrected by augmenting to the original system of equations an 'error system'
Likins, P. W., Skelton, R. E.
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FEBS Open Bio, EarlyView.We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source